Data Management and Analysis

EPA Grant Number: R829458C004
Subproject: this is subproject number 004 , established and managed by the Center Director under grant R829458
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).

Center: EAGLES - Consortium for Estuarine Ecoindicator Research for the Gulf of Mexico
Center Director: Brouwer, Marius
Title: Data Management and Analysis
Investigators: Noble, Peter
Institution: University of Southern Mississippi
Current Institution: University of Washington , University of Southern Mississippi
EPA Project Officer: Packard, Benjamin H
Project Period: December 1, 2001 through November 30, 2005 (Extended to May 20, 2007)
RFA: Environmental Indicators in the Estuarine Environment Research Program (2000) RFA Text |  Recipients Lists
Research Category: Ecological Indicators/Assessment/Restoration , Water , Aquatic Ecosystems


The main objectives of this research project are to develop a secure Web site for the deposition of metadata and the Consortium for Estuarine Ecoindicator Research for the Gulf of Mexico (CEER-GOM) investigators data, and to conduct statistical analysis of ecological data. The CEER-GOM Web Sites have not been linked together, and the uploading tools have not been hooked up (although they are developed). It is anticipated that the final product will be completed by March 2003. Neural network software has been developed for nonlinear statistical analysis. A more sophisticated neural network software package also has been developed and currently is being beta tested. A manuscript describing the neural network software and providing an example of how this software can be used for ecological assessment is being prepared. A manuscript dealing with eutrophication of salt marsh estuaries based on phytoplankton community pigment analysis also is in review. Two manuscripts dealing with the application of DNA microarrays and neural network analysis have been accepted for publication in Applied and Environmental Microbiology. This project is collaborating with two groups at CEER-Atlantic Coast Environmental Indicators Consortium (ACE) (Dr. Jim Morris, University of South Carolina; Drs. Lexia Valdes and Hans Pearl, University of North Carolina). This collaborators will be using the new neural network software to analyze their ecological data.

Publications and Presentations:

Publications have been submitted on this subproject: View all 18 publications for this subprojectView all 171 publications for this center

Journal Articles:

Journal Articles have been submitted on this subproject: View all 10 journal articles for this subprojectView all 48 journal articles for this center

Supplemental Keywords:

population, community, ecosystem, watersheds, estuary, Gulf of Mexico, nutrients, hypoxia, innovative technology, ecoindicators, biomarkers, water quality, remote sensing, geographic information system, GIS, integrated assessment, risk assessment, fisheries, conservation, restoration., RFA, Scientific Discipline, ECOSYSTEMS, Geographic Area, Ecosystem Protection/Environmental Exposure & Risk, Aquatic Ecosystems & Estuarine Research, Ecology, Ecosystem/Assessment/Indicators, Ecosystem Protection, Aquatic Ecosystem, Aquatic Ecosystems, Ecological Effects - Environmental Exposure & Risk, Environmental Monitoring, Ecological Monitoring, Ecology and Ecosystems, Biology, Ecological Indicators, Gulf of Mexico, monitoring, ecoindicator, ecological exposure, neural network software, estuaries, estuarine integrity, CEER-GOM, estuarine ecoindicator, data management, environmental indicators, environmental stress, water quality

Progress and Final Reports:

  • 2002 Progress Report
  • 2003 Progress Report
  • 2004 Progress Report
  • 2005 Progress Report
  • 2006
  • Final

  • Main Center Abstract and Reports:

    R829458    EAGLES - Consortium for Estuarine Ecoindicator Research for the Gulf of Mexico

    Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
    R829458C001 Remote Sensing of Water Quality
    R829458C002 Microbial Biofilms as Indicators of Estuarine Ecosystem Condition
    R829458C003 Individual Level Indicators: Molecular Indicators of Dissolved Oxygen Stress in Crustaceans
    R829458C004 Data Management and Analysis
    R829458C005 Individual Level Indicators: Reproductive Function in Estuarine Fishes
    R829458C006 Collaborative Efforts Between CEER-GOM and U.S. Environmental Protection Agency (EPA)-Gulf Ecology Division (GED)
    R829458C007 GIS and Terrestrial Remote Sensing
    R829458C008 Macrobenthic Process Indicators of Estuarine Condition for the Northern Gulf of Mexico
    R829458C009 Modeling and Integration